Find Songs given a list of words

outpyt.txt

['love', 'is', 'in', 'the', 'air']
['mamma', 'mia']
['girls', 'just', 'want', 'to', 'have', 'fun']
--
['love', 'is', 'in', 'the', 'air']
['girls', 'just', 'want', 'to', 'have', 'fun']
['love', 'is']
['music']
['love']
['music']
['love']
--
['we', 'are', 'the', 'champions']
--

Song_Finder.py

import pandas as pd

def print_songs_found(songs_column, clue_words):
    for song in songs_column:
        try:
            songwords = [x.lower() for x in song.split()]
            #print(songwords)
            if all(word in clue_words  for word in songwords):
                print(songwords)
        except:
            pass

def remove_words(clue_words, removelist):
    for rw in removelist:
        clue_words.remove(rw)


def main():
    
    #Parameters
    url = 'https://raw.githubusercontent.com/fivethirtyeight/data/master/classic-rock/classic-rock-song-list.csv'
    url2 = 'https://raw.githubusercontent.com/walkerkq/musiclyrics/master/billboard_lyrics_1964-2015.csv'
    url3 = 'https://www.maxtv.com.au/top-1000-greatest-songs-of-all-time-3'

    songs = pd.read_csv(url, encoding = "ISO-8859-1")
    songs2 = pd.read_csv(url2, encoding = "ISO-8859-1")
    popular = pd.read_html(url3)

    clue_words = [x.lower() for x in """
    We Want Champions Farewell To Mamma In Of Jambalaya
    Gonsalves The Have Sound Girls Air Sway Que Mia Sera
    Are Music Sera The Just Jamaica Fun Love is The Speedy
    """.split()]

    print(len(clue_words))
    list_of_song_lists = [popular[0][1], songs2['Song'], songs['Song Clean']]
    for songs_column in list_of_song_lists:
        print_songs_found(songs_column, clue_words)
        print('--')
        
if __name__ == '__main__':
    main()

    #remove_words(clue_words, ['girls', 'just', 'want', 'to', 'have', 'fun'])
    #remove_words(clue_words, ['love', 'is', 'in', 'the', 'air'] )
    #remove_words(clue_words, ['we', 'are', 'the', 'champions'] )
    #remove_words(clue_words, ['the', 'sound', 'of', 'music'] )
    #remove_words(clue_words, ['speedy', 'gonsalves'] )
    #remove_words(clue_words, ['que', 'sera', 'sera'] )
    #remove_words(clue_words, ['mamma', 'mia'] )